d3nnnd3nnn

d3nnnd3nnn — CS2 Stats

76561199566489948[U:1:1606224220]Steam profile ↗

2,864Tracked matches37%Win rate2023Tracked since
CSDB Rating5.2 DevelopingAggressive Rifler
Premier CS Rating17,339Purple band · top ~19.1% of ranked players (population est.)
CSDB Leaderboard#7753 of 13493 tracked
FaceitLevel 7 · 1,413 ELOTop 42.3% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGd3nnnd3nnnFACEITLevel 7 · 1,413 ELOSTANDINGTop 42.3% of rankedPREMIER17,339 · Purple bandcsdb.gg/stats

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Performance scores

Aim72
Positioning56
Utility54

0–100 skill scores via Leetify.

Recent form

STEADY45523Last 10045%Win rateLWLWLLWWLW

Last 10 vs previous 10: +30pp win rate · +0.02 avg rating

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim7.2
Aggression7.4
Utility5.4
Positioning5.6
Opening Duels2.8
Clutch4.0

Strong CT-side opener

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

b1t

Plays most like b1t 89% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 52% on CT to 31% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 573ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim7.2
Positioning5.6
Utility5.4
Mechanics5.0
Opening Duels2.8
Win Impact0.6

Composite 5.2/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.02−0.01
first ⅓ avg -0.01 → last ⅓ avg -0.02
Reaction time578ms−10ms
first ⅓ avg 588ms → last ⅓ avg 578ms
Headshot accuracy20.6%−0.6%
first ⅓ avg 21.2% → last ⅓ avg 20.6%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.09Best rating — anubis 13–11
131Biggest win — ancient
5Longest win streak
96In matches decided by ≤2 rounds
4Overtime games

Map breakdown

ancientBest map · 55% over 22infernoWeakest map · 36% over 11
MapGradePlayedRecordWin rateAvg rating
ancientA22121055%-0.01
nukeC2081240%-0.01
dust2B178947%-0.00
anubisC167944%0.00
infernoC114736%-0.01
mirageB84450%-0.04
cache2020%-0.05
overpass21150%-0.03
vertigo21150%0.03

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (36% over 11). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

912Matches
50%Win rate
1.07Avg K/D
76.9ADR
43%Headshot %

Clutches & streaks

40%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsLLLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient21753%1.0315.4
Inferno14145%1.0315.1
Nuke13058%1.1216.4
Vertigo11551%1.1116.8
Mirage10741%0.9514.9
Dust28146%1.0915.7
Anubis6853%1.1716.7
Overpass4058%1.1416.2

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

20.4%Headshot accuracy
34.8%Accuracy (enemy spotted)
37.7%Spray accuracy
72.5%Counter-strafing
9.0°Preaim
573msReaction time
31.0%T opening success
51.5%CT opening success
0.67Enemies flashed / flash
6.9%Flash assists
8.65HE damage / grenade
14.63Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 30.9602% — below the 40% mark we flag

Spend your practice time on Inferno

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

36% win rate across 11 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis14–160.0322%28 Aug
mirage13–80.0329%28 Aug
inferno9–130.029%28 Aug
ancient13–8-0.0128%28 Aug
nuke8–13-0.0024%27 Aug
mirage11–13-0.0013%27 Aug
ancient13–5-0.019%26 Aug
anubis13–10-0.0224%26 Aug
anubis11–130.0115%21 Aug
mirage13–3-0.0718%21 Aug
dust26–130.0130%21 Aug
nuke10–13-0.0017%20 Aug
ancient9–130.0315%20 Aug
anubis7–13-0.0821%19 Aug
anubis7–13-0.0123%13 Aug
dust213–5-0.0311%11 Aug
ancient5–13-0.0218%11 Aug
mirage3–13-0.0722%11 Aug
ancient13–7-0.0126%9 Aug
inferno5–13-0.0628%9 Aug
anubis13–90.0332%9 Aug
dust22–130.0435%9 Aug
inferno11–13-0.0614%3 Aug
cache9–13-0.0613%30 Jul
anubis3–13-0.0218%30 Jul
ancient13–6-0.0226%29 Jul
nuke13–7-0.037%29 Jul
nuke13–11-0.0135%29 Jul
dust20–13-0.080%23 Jul
mirage2–13-0.0429%23 Jul
ancient9–13-0.0123%22 Jul
anubis10–13-0.0826%21 Jul
ancient6–13-0.0720%21 Jul
nuke13–11-0.0021%19 Jul
ancient13–80.0011%19 Jul
dust213–100.0517%19 Jul
anubis13–110.0922%19 Jul
nuke9–13-0.0130%18 Jul
inferno11–13-0.0328%18 Jul
ancient13–9-0.0421%17 Jul
anubis7–20.0825%17 Jul
dust213–50.0332%17 Jul
inferno13–30.0115%16 Jul
ancient13–9-0.0311%16 Jul
cache11–13-0.0313%16 Jul
inferno13–7-0.0217%16 Jul
nuke13–60.0015%16 Jul
nuke13–11-0.0419%16 Jul
anubis13–160.0422%11 Jul
overpass13–60.0139%3 Jul
dust213–6-0.0132%3 Jul
anubis9–13-0.038%3 Jul
mirage13–11-0.0119%3 Jul
ancient13–20.0315%3 Jul
mirage13–10-0.0937%2 Jul
inferno13–6-0.0224%2 Jul
inferno8–130.0223%22 Jun
nuke2–13-0.0547%5 Jun
inferno12–120.0223%5 Jun
anubis13–6-0.0320%3 Jun
dust28–130.0250%2 Jun
mirage5–13-0.0824%2 Jun
vertigo13–110.0724%1 Jun
dust28–13-0.0130%1 Jun
ancient13–16-0.0213%28 May
ancient13–60.0723%22 May
nuke5–13-0.0323%13 May
nuke2–130.0521%6 May
ancient9–130.0633%5 May
nuke8–130.0233%30 Apr
dust213–11-0.0419%26 Apr
nuke8–13-0.0223%15 Apr
dust20–13-0.0733%15 Apr
ancient1–13-0.0630%9 Apr
nuke13–40.0218%9 Apr
dust213–100.0614%9 Apr
dust27–13-0.0314%8 Apr
ancient7–12-0.0624%7 Apr
anubis13–7-0.0123%7 Apr
vertigo4–13-0.0223%5 Apr
nuke13–4-0.030%5 Apr
ancient13–3-0.0744%5 Apr
overpass4–13-0.0624%5 Apr
ancient10–13-0.0515%5 Apr
anubis12–120.0123%5 Apr
inferno5–130.0521%4 Apr
nuke13–80.0129%3 Apr
ancient13–10.0338%3 Apr
dust28–13-0.0026%2 Apr
inferno13–7-0.0513%2 Apr
nuke8–13-0.0516%2 Apr
ancient4–13-0.0510%2 Apr
nuke5–13-0.1117%2 Apr
nuke10–130.0013%2 Apr
nuke12–120.0613%1 Apr
dust213–160.0117%1 Apr
ancient13–110.0312%1 Apr
anubis13–60.0227%1 Apr
dust213–4-0.0118%1 Apr
dust213–11-0.0217%31 Mar

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →